Track your tournament results: ITM, ROI, place and winnings

A hand tracker that can't tell you where you finished and how much you won is only half useful for tournaments. Cash game gets read in bb/100; tournaments get read in place and winnings. That pair of numbers is what feeds everything else: ITM, ROI, ABI.

GrindLab now extracts the finishing place and the winnings for every tournament directly from your imported hand histories, across the main rooms, and shows them as columns in your tournament list, on web and on desktop. This article covers what that actually changes and how to turn that history into metrics you can genuinely track.

What GrindLab extracts from your hand histories

Every tournament-ending hand history contains, on most rooms, the final ranking and the amount won. GrindLab parses that at import time and stores it in a per-tournament aggregate, as two precise columns:

• Place: your final ranking relative to the field size (for example 3/540, third out of 540 entrants).
• Winnings: the money you actually took home from that tournament. On PKO (Progressive Knockout) formats, winnings include bounties collected on top of the regular prizepool, so the number shown matches what you really earned. How the bounty works in PKO is covered in its own article, from the EV-modeling angle.

Both columns show up in your tournament list, on web and on the desktop tracker. Results are stored in a dedicated aggregate so the list stays fast to load even on a large history: a tournament's winnings are computed once, at import, not recalculated on every render.

The three metrics your history lets you read

From the place and winnings of each tournament, three classic metrics become readable. Here are their precise definitions, the ones any serious tournament tracker should respect:

ITM: consistency

ITM answers a simple question: how many of your tournaments pay off something? An ITM of 15 to 20% is common in multi-table tournaments, higher in small-field Sit & Gos. ITM on its own says nothing about profitability: you can have a comfortable ITM by stacking up min-cashes and still be a losing player if the deep runs never show up.

ROI: real profitability

ROI relates your net profit (cumulative winnings minus cumulative buy-ins, rebuys and add-ons included) to your total stake. It's the metric that tells you whether you're actually winning over a period, but it's extremely sensitive to variance in tournaments: a single deep run can flip a negative ROI into a strongly positive one. You need a large sample, often several hundred tournaments, before drawing any conclusion about your real edge. On this point, the article on poker variance breaks down why tournaments are the noisiest format of all.

ABI: your stake level

ABI tells you the average level you play at. It mainly serves as a guardrail for reading ROI: a ROI that climbs while your ABI drops often signals you're getting more consistent at easier tournaments, not that your edge is improving at a fixed level. Conversely, a stable ROI with a rising ABI is a good sign: you're confirming your edge while moving up in stakes.

Reading the results table

On the Games view, every tournament row shows the buy-in staked, the finishing place, and the net winnings. Sorting by date gives you a chronological view of your progress; sorting by winnings surfaces your best scores. Opening a specific tournament takes you to the hands played inside My Hands, so you can review the key spots from that run.

On small-field formats or under heavy ICM pressure (bubble, final table), the place alone doesn't tell you the quality of a given decision. That's where the Lab picks up: you reimport a hand from a tournament finish, configure the ICM risk premium, and check whether a marginal shove or call was actually justified given the payout structure. The article on ICM in poker lays out the fundamentals of that calculation if the concept still feels fuzzy.

Quick quiz: ITM, ROI or ABI?

PKO: winnings include bounties

On Progressive Knockout tournaments, ignoring bounties in the winnings figure would badly distort ROI: a meaningful chunk of an aggressive PKO player's profit comes precisely from knockouts, not just the final prizepool payout. GrindLab adds both into the Winnings column, so your PKO ROI reflects your real performance, bounties collected included.

If you want to understand how that bounty is modeled at the spot level, not just in the final result, the dedicated PKO and bounty article explains how the Lab factors villain's bounty into a shove's EV calculation, with worked examples.

Reading ROI and ABI over time

A ROI number should always be read alongside two other things: sample size and how ABI moved over the same window.

• Sample too small: under 100 tournaments, your displayed ROI may say nothing about your real edge. Tournament variance comes from the structure of the format itself (one winning result outweighs dozens of bubbles); that's structural, not a sign you're playing badly.
• ABI in motion: compare your ROI across windows where your ABI is stable. A ROI that looks like it's collapsing can simply reflect moving up in stakes toward tougher fields, which is normal and even desirable if volume holds up.
• Mixed formats: a blended ROI across fast Sit & Gos, regular MTTs and PKOs isn't very meaningful. Filtering your tournament list by format before computing each metric gives a more honest read.

For players who mix cash game and tournaments, these metrics don't replace tracking your sessions: tournaments get read in ITM/ROI/ABI, cash game gets read in bb/100 and a winrate curve. Both live in the same tracker, but they don't mix into the same metrics.

A worked example: reading a results run

Take a concrete sample of 318 tournaments played over a few months, mixing regular MTTs and PKOs. The results table gives you buy-in, place and winnings for each one. Aggregated over the run:

• ITM = 24%: roughly one tournament in four pays you something. That's the profile of a player who accepts long stretches without a cash in exchange for chasing deep runs, rather than a player grinding tight for cash frequency.
• ROI = +31%: over the period, you get back $1.31 on average for every dollar staked. At 318 tournaments, the sample starts to be workable but is still on the low end for a truly stabilized ROI, especially if one or two big scores carry a heavy weight in the calculation.
• ABI = $12: the average stake level held steady over the period. Combined with the ROI, that tells you the profitability comes from a real edge at that level, not from getting more consistent by moving into easier fields.

That cross-read (ITM for consistency, ROI for profitability, ABI for stake level) is what separates a real results analysis from a quick glance at the balance. Filtering your tournament list by time window or by format lets you rerun this calculation on any subset, for example to isolate your PKO performance from your regular MTT performance.

What the Winnings column doesn't replace

Place and winnings give you the result, not the decision. Two players can finish at the same place with radically different paths: a lucky 30%-equity all-in early on, versus a string of solid decisions all the way to the final table. The result alone doesn't tell them apart.

That's why tournament results and hand review are complementary, not interchangeable. Once you've spotted, via the Place or Winnings column, a tournament that ended badly, reviewing it in My Hands tells you whether it was variance or a decision worth revisiting. And to manage risk of ruin on the most volatile format in poker, the article on bankroll management gives concrete staking rules tied to the ROI and ABI you're actually observing, not generic standards.

Conclusion

Place and winnings are the raw material: two reliable columns, extracted automatically from your hand histories, PKO bounties included. From there, ITM, ROI and ABI stop being numbers you eyeball at the end of a stretch and become simple calculations on a clean history.

Three habits worth adopting:

1. Always read ITM and ROI together: consistency without profitability (or the reverse) gives an incomplete picture.
2. Compare ROI at a constant ABI before drawing any conclusion about your progress.
3. Never forget sample size: tournaments are the noisiest format in poker, a small run proves nothing.

Import your latest tournament session from My Hands, open the Games view, and watch your Place and Winnings columns fill in. Computing ITM, ROI and ABI is then just addition, on data you no longer have to reconstruct by hand.